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The expressive power (and consequently the computational complexity) of the combined spatio-temporal formalisms obviously depends on three parameters:
- the expressivity of the spatial component
- the expressivity of the temporal component, and
- the interaction between the two components allowed in the combined logic
The paper states, if there exists a topological model, M, then it should have been formed by the algebra described by RCC (Region Connection Calculus). QSR library is a unique tool that can compute the Allen's Interval Algebra (AIA) temporal logics.
In statistics, given the model, we are able to predict the data within a given universal set. To assist the OpenVINO's Intermediate Representation (IR) Model, bespoke statistical models define the spatio-temporal formalisms required for various use cases. An example of the use case transforming one digit to another digit using a Gaussian noise vector of size 100 units with Simple GAN has been provided below:
All of the noise vectors supplied to the GeneratorNet.py are learned for best output. Once an optimized IR model is developed, the sample Temporal Difference Custom Layer intercepts the successful inputs to create the simulation as demonstrated.
Using the Mahalanobis Distance Vector commonly used in Dirichlet processes and Gaussian Processes, the state space of MNIST data are simulated
With Intermediary Layer as:
and Temporal Logic layer as:
